October 2019
Intermediate to advanced
520 pages
13h 5m
English
AutoML comes into play when pretrained models are not fit for purpose. As an example, the Vision API can recognize a table, but what if we want to recognize a particular table that our company produces? The Vision API cannot do that for us.
In such a case, we need to use AutoML or train our own model. As you have probably already guessed, the former is a much easier method. What AutoML does is it takes datasets from you, trains and deploys the model, and then serves it through the REST API. This sounds a little bit like magic, right? Take a look at the following diagram:

Note that there are five services available that allow you to ...
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